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Instead of generating copy from scratch, write your own draft first. Then, prompt an AI to review and improve it based on the known principles and styles of famous copywriters. This turns the AI into a personalized, expert thought partner for refining your work.
Develop superior AI-generated copy by first using an AI agent to research and deconstruct the frameworks of top marketers. Then, feed the AI examples of your own writing to distill a unique brand voice. Combining these into a custom 'skill' produces consistent, high-converting copy that feels authentic.
AI doesn't replace copywriters; it transforms their role. By automating the menial task of generating countless variations, it frees them to focus on high-level strategy: defining brand voice, guiding the AI, and acting as the expert who orchestrates the machine rather than being the machine.
Instead of accepting a single AI output, generate multiple versions of your landing page copy. Then, have the AI create and embody different "judge" personas (e.g., a skeptical CFO, a distracted founder) to score each version, merging the best elements into a final winner.
Instead of using AI to write final copy, leverage it as a brainstorming partner. Dave Gerhardt uses ChatGPT to generate 15 variations of a subject line. This process allows him to cherry-pick words and phrases, combining them into a superior, human-crafted final version.
Instead of asking AI for a final answer, use it as a sophisticated focus group. Prompt it to embody different customer personas (e.g., "a left-leaning feminist," "a conservative male") and provide feedback on your messaging from those perspectives. This helps refine copy before market testing.
Avoid using AI to generate your initial draft, which can produce generic results. Instead, write the first version yourself to ensure your unique thoughts and voice are present. Then, use AI tools as a partner to refine, massage, and improve upon your original work.
To make AI-assisted writing more effective, first create detailed personas of your target readers. Then, have these AI personas review your drafts, providing specific feedback on clarity, impact, and what would make them disengage. This allows for unlimited, targeted feedback cycles.
To avoid generic AI-generated text, use the LLM as a critic rather than a writer. By providing a detailed style guide that you co-created with the AI, its feedback on your drafts becomes highly specific and aligned with your personal goals, audience, and tone.
AI's strength in copywriting is not generating final text, which often lacks a human touch. Instead, use it as a research assistant to find unique concepts, analogies, or data (like the 'Michelangelo effect') that can serve as the core, attention-grabbing idea for your campaign.
Shift away from the traditional model of drafting content yourself and asking AI for edits. Instead, leverage the AI's near-infinite output capacity to generate a wide range of initial ideas or drafts. This allows you to quickly identify patterns, discard unworkable concepts, and focus your energy on high-level refinement rather than initial creation.